TL;DR If you want to jump straight to the conclusion, I’d say go for Gemini 2.5 Pro, it’s better at coding, has one million in context window as compared to Claude’s 200k, and you can get it for free (a big plus). However, Claude’s 3.7 Sonnet is not that far behind. Though at this point there’s no point using it over Gemini 2.5 Pro.
> has one million in context window Is this effective context window or just the absolute limit? A lot of the models that claim to support very large context windows cannot actually successfully do the typical "needle in a haystack" test, but I'm guessing there are published results somewhere demonstrating Gemini 2.5 Pro can actually find the needle?
[1] https://cloud.google.com/blog/products/ai-machine-learning/t...